Title :
Reduction of placement problems using Minkowski decomposition
Author :
Dorst, Leo ; Ahmed, Nizam
Author_Institution :
Informatics Inst., Univ. of Amsterdam, Netherlands
fDate :
2/1/2003 12:00:00 AM
Abstract :
The problem of finding collision-free placements for an object amid obstacles has two well-known solutions: the task space approach and the configuration space approach. In this correspondence, we study the mathematical structure of the placement problem, and show that Minkowski decomposition of the object produces a hierarchy of intermediate reformulations. This provides the mathematical foundation for common approximate solution methods already used in applications. In particular, it provides a recipe for discretizing rotations consistently. The methods discussed are particularly effective for simple shapes.
Keywords :
genetic algorithms; path planning; Minkowski decomposition; approximate solution methods; collision-free placements; configuration space approach; hierarchical planning; mathematical foundation; mathematical structure; path planning; placement problems reduction; task space approach; Informatics; Joining processes; Mathematics; Morphological operations; Navigation; Orbital robotics; Path planning; Prototypes; Robots; Shape;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2003.808180